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This study aims to explore virtual site visit adoption patterns of US convention facilities based on the diffusion of innovation (DOI) theory. Additionally, it offers predictive models of virtual site visit tool adoption by applying probability distributions.

The study used content analysis of 369 US convention facility websites. Data collected from the websites recorded the presence or absence of the following tools facilitating virtual site visits: photos, floor plans, videos, 360-photos, 360-tours and virtual reality (VR)-optimized tours. The website content analysis was followed by application of the DOI theory and predictive modeling.

According to the DOI theory, the use of VR-optimized tours (4.34%) is still in the early adoption stage, followed by 360-degree tours (12.74%) and standard videos (17.89%) that have transitioned into the early majority stage of adoption and photos (72.09%) and floor plans (84.82%) that represent a late majority stage. Three predictive models with shifted Gompertz, Gumbel and Bass distributions forecasted that convention centers would achieve a 50% adoption rate of 360-degree tools (photos and tours) in 4.67, 4.2 and three years, respectively. The same models predicted a 50% adoption rate of 360-degree tours in 6.62, 5.81 and 4.42 years.

The research indicates that most US convention facilities have not taken full advantage of their websites as a sales and marketing tool.

This study is the first comprehensive attempt to evaluate the adoption rate of VR and other technologies enabling virtual site visits by using content analysis of US convention facility websites. Additionally, it is the first attempt to apply probability distributions to predict technology adoption in the convention industry context.

Extended research efforts have been dedicated to understanding how different aspects of online surveys impact the response rate and quality of collected data. With the hope to yield higher response rates, leading survey software solutions (e.g., SurveyMonkey, Qualtrics, QuestionPro) introduced a new technique of embedding a question from an online survey into invitation emails sent to the respondents. The purpose of this chapter is to examine the impact of embedded questions on survey response rate and quality. The results of two experimental studies show that respondents are more likely to respond to a survey with an embedded question compared to an email without one. No statistically significant differences were discovered regarding data quality that was assessed via survey completion rate, respondent bias, and attention check questions. The chapter provides suggestions and guidelines for increasing online surveys' response rate and quality.

Purpose: The purpose of this chapter is to review and critically evaluate robots, artificial intelligence and service automation (RAISA) applications in the restaurant industry to educate professors, graduate students, and industry professionals.

Design/methodology/approach: This chapter is a survey of applications of RAISA in restaurants. The chapter is based on the review of professional and peer-reviewed academic literature, and the industry insight section was prepared based on a 50-minute interview with Mr. Juan Higueros, Chief Operations Officer of Bear Robotics.

Findings: Various case studies presented in this chapter illustrate numerous possibilities for automation: from automating a specific function to complete automation of the front of the house (e.g., Eatsa) or back of the house (e.g., Spyce robotic kitchen). The restaurant industry has already adopted chatbots; voice-activated and biometric technologies; robots as hosts, food runners, chefs, and bartenders; tableside ordering; conveyors; and robotic food delivery.

Practical implications: The chapter presents professors and students with a detailed overview of RAISA in the restaurant industry that will be useful for educational and research purposes. Restaurant owners and managers may also benefit from reading this chapter as they will learn about the current state of technology and opportunities for RAISA implementation.

Originality/value: To the best of the authors’ knowledge, this chapter presents the first systematic and in-depth review of RAISA technologies in the restaurant industry.

This first chapter provides an overview of all the chapters included in this book. This book focuses on contemporary research methods in hospitality and tourism. Revisiting the traditional research methods is necessary for academia and practitioners in the hospitality and tourism field. New understandings and interpretations of traditional research paradigms such as positivism and interpretivism as well as more recent paradigms such as realism and pragmatism in the context of hospitality and tourism are vital to strengthen the research practices. We hope that the edited book can help researchers and practitioners in our field in their research journeys and applications.